AIMC Topic: Bacteria

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Rubisco-Centric Strategies for Carbon Conservation in Synthetic Biology.

Journal of agricultural and food chemistry
The escalating global climate crisis urgently demands biomanufacturing technologies with higher carbon efficiency. Ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), the central enzyme catalyzing carbon dioxide fixation in the Calvin-Benson c...

Evolutionary and Ecological Drivers of Gut Microbiota in Wild Rodent Species from the Yucatán Peninsula.

Microbial ecology
The host-microbiome association is considered a coevolutionary process, in which the microbiome provides important functions for host development, physiology and health. However, the ecological and evolutionary forces shaping the diversity and struct...

Predicting rhizosphere-competence-related catabolic gene clusters in plant-associated bacteria with rhizoSMASH.

Nature communications
Plants release a substantial fraction of their photosynthesized carbon into the rhizosphere as root exudates that drive microbiome assembly. Deciphering how plants modulate the composition and activities of rhizosphere microbiota through root exudate...

Frontier research on the risk of spoilage microorganisms in refrigerated marine fish: From regional to global perspectives.

International journal of food microbiology
Microbial spoilage is creating safety risks and significant wastage of refrigerated marine fish. Spoilage microorganisms possess distinct physiological adaptations that enable them to contribute to the spoilage of refrigerated marine fish, thereby co...

Gut microbiota dynamics in SAMP8 mice: insights from machine learning and longitudinal analysis.

Microbiology spectrum
UNLABELLED: The gut microbiota plays a crucial role in maintaining host health, and its composition is significantly influenced by aging. The SAMP8 mouse model, known for its accelerated aging process, is widely used to study age-related changes. How...

Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints.

Scientific reports
Understanding microbial dynamics in natural environments remains a significant challenge. As an alternative approach, studying model bacterial strains under well-defined laboratory conditions can reveal ecological niche patterns and evolutionary cons...

Identification and predictive machine learning model construction of gut microbiota associated with carcinoembryonic antigens in colorectal cancer.

mSphere
UNLABELLED: Carcinoembryonic antigen (CEA) is a critical colorectal cancer (CRC) biomarker, but its mechanistic link to gut microbiota remains unclear. This study characterized gut microbiota differences between high-CEA (H-CEA) and low-CEA (L-CEA) C...

Global wastewater microbiome reveals core bacterial community and viral diversity with regional antibiotic resistance patterns.

mSystems
Municipal wastewater treatment plants (WWTPs) serve as global repositories for diverse and dynamic microbial communities, reflecting the complex interplay of human activities, environmental conditions, and public health challenges. Despite their impo...

Deep Learning-Driven Discovery of Novel Antimicrobial Peptides from Large-Scale Protist Genomes and Experimental Characterization.

Journal of chemical information and modeling
The escalating issue of antibiotic resistance has created an urgent global demand within the biomedical field for the discovery of novel antimicrobial molecules as alternatives to traditional antibiotics. Previous studies have reported the identifica...

Machine learning-assisted identification of core flavor compounds and prediction of core microorganisms in fermentation grains and pit mud during the fermentation process of strong-flavor Baijiu.

Food chemistry
The quality of strong-flavor Baijiu (SFB) is directly determined by key flavor compounds, which are influenced by microorganisms during fermentation. This study employed flavoromics and machine learning technologies to explore the relationship betwee...